Evidence map›Paper›PMID 42848105›Full record

ArticleBioresources and bioprocessing2026

Screening and identification of significant media components using Plackett-Burman design for enhanced extracellular protease production by Bacillus sp. MTCC 511 under mutagenic stress conditions.

Amarish Kumar Sharma, Ajay Kumar, Manoj Kumar Jena

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Article in Bioresources and bioprocessing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Amarish Kumar SharmaDepartment of Biotechnology, Parul Institute of Technology, Parul University, Vadodara, Gujarat, 390761, India. amarish.sharma41028@paruluniversity.ac.in.ORCID http://orcid.org/0000-0002-8887-9296
Ajay KumarDepartment of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, 144411, India.
Manoj Kumar JenaDepartment of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, 144411, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistical screening of media components is essential for identifying the key variables that govern protease yield from Bacillus species. We used a 12-run Plackett-Burman Design (PBD) to screen ten independent variables-dipotassium phosphate, monopotassium phosphate, ammonium sulphate, sodium nitrate, magnesium sulphate heptahydrate, calcium chloride, carbon source, nitrogen source, agitation speed, and pH-for their effects on extracellular protease production by Bacillus sp. MTCC 511 under four mutagenic stress conditions: thermal treatment at 70 °C and 80 °C (10 min each) and UV irradiation (2 and 3 min).

resultsEnzyme activity was quantified by Folin-Ciocalteu assay against a tyrosine standard (R2 = 0.998). The highest protease activity, 8.66 U/mL, was recorded under 3-min UV irradiation in a medium containing starch (1%), yeast extract (0.1%), K

conclusionsThe PBD screening efficiently identified significant factors whose effects are consistent with established regulatory mechanisms including nitrogen catabolite repression, carbon catabolite repression, and dissolved oxygen-dependent secretion. Follow-up response surface optimization is warranted to characterize factor interactions and identify the global optimum.

Indexed as

Bacillus sp.Bioprocess engineeringExtracellular proteaseFactor screeningMutagenesisPlackett–Burman design

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